Georgia D. Tourassi

7.4k total citations · 1 hit paper
195 papers, 3.9k citations indexed

About

Georgia D. Tourassi is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Georgia D. Tourassi has authored 195 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Artificial Intelligence, 57 papers in Radiology, Nuclear Medicine and Imaging and 45 papers in Molecular Biology. Recurrent topics in Georgia D. Tourassi's work include AI in cancer detection (73 papers), Topic Modeling (29 papers) and Radiomics and Machine Learning in Medical Imaging (29 papers). Georgia D. Tourassi is often cited by papers focused on AI in cancer detection (73 papers), Topic Modeling (29 papers) and Radiomics and Machine Learning in Medical Imaging (29 papers). Georgia D. Tourassi collaborates with scholars based in United States, Israel and Canada. Georgia D. Tourassi's co-authors include Carey E. Floyd, Joseph Y. Lo, Maciej A. Mazurowski, Hong‐Jun Yoon, Jacek M. Zurada, Piotr A. Habas, Jay A. Baker, Mia K. Markey, Adel Elmaghraby and Brian Harrawood and has published in prestigious journals such as Journal of Clinical Oncology, Nature reviews. Cancer and Nature Biotechnology.

In The Last Decade

Georgia D. Tourassi

187 papers receiving 3.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance

2007 553 citations Maciej A. Mazurowski, Piotr A. Habas et al. profile →

Peers

Countries citing papers authored by Georgia D. Tourassi

Since Specialization

Citations

This map shows the geographic impact of Georgia D. Tourassi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Georgia D. Tourassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georgia D. Tourassi more than expected).

Fields of papers citing papers by Georgia D. Tourassi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Georgia D. Tourassi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Georgia D. Tourassi. The network helps show where Georgia D. Tourassi may publish in the future.

Co-authorship network of co-authors of Georgia D. Tourassi

This figure shows the co-authorship network connecting the top 25 collaborators of Georgia D. Tourassi. A scholar is included among the top collaborators of Georgia D. Tourassi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Georgia D. Tourassi. Georgia D. Tourassi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Topological Interpretability for Deep Learning 2024 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·(unknown), Heidi A. Hanson, Georgia D. Tourassi, Lynne Penberthy	1
2	Powering Progress in Leadership Computing in the Era of Generative AI and Energy Constraints 2024 ·Georgia D. Tourassi	0
3	Deep learning uncertainty quantification for clinical text classification 2023 ·Journal of Biomedical Informatics ·(unknown), Ioana Danciu, Hong‐Jun Yoon, Jamaludin Mohd‐Yusof, Tanmoy Bhattacharya, (unknown), (unknown), Eric B. Durbin, Xiao‐Cheng Wu, Antoinette M. Stroup, Jennifer A. Doherty, Stephen M. Schwartz, Charles L. Wiggins, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi, Shang Gao	3
4	Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks 2023 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Aristeidis Tsaris, Joshua Romero, Thorsten Kurth, Jacob Hinkle, Hong‐Jun Yoon, Feiyi Wang, (unknown), Georgia D. Tourassi	0
5	Computational medicine: Grand challenges and opportunities for revolutionizing personalized healthcare 2023 ·Georgia D. Tourassi	3
6	Artificial intelligence in cancer research, diagnosis and therapy 2021 ·Nature reviews. Cancer ·Olivier Elemento, Christina S. Leslie, Johan Lundin, Georgia D. Tourassi	154
7	Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports 2020 ·Journal of Biomedical Informatics ·(unknown), Hilda Klasky, John Gounley, Mohammed Alawad, Shang Gao, Eric B. Durbin, Xiao‐Cheng Wu, Antoinette M. Stroup, Jennifer A. Doherty, Linda Coyle, Lynne Penberthy, (unknown), Georgia D. Tourassi	10
8	Privacy-Preserving Deep Learning NLP Models for Cancer Registries 2020 ·IEEE Transactions on Emerging Topics in Computing ·Mohammed Alawad, Hong‐Jun Yoon, Shang Gao, (unknown), Xiao‐Cheng Wu, Eric B. Durbin, Jong Cheol Jeong, (unknown), (unknown), Linda Coyle, Lynne Penberthy, Georgia D. Tourassi	31
9	Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports 2019 ·PubMed ·Mohammed Alawad, Shang Gao, John X. Qiu, (unknown), Jacob Hinkle, Hong‐Jun Yoon, (unknown), Xiao‐Cheng Wu, Eric B. Durbin, Jong Cheol Jeong, (unknown), (unknown), Georgia D. Tourassi	15
10	Investigating Sociodemographic Disparities in Cancer Risk Using Web-Based Informatics 2018 ·Purdue e-Pubs (Purdue University System) ·Hong‐Jun Yoon, Georgia D. Tourassi	0
11	Hierarchical attention networks for information extraction from cancer pathology reports 2017 ·Journal of the American Medical Informatics Association ·Shang Gao, M. Todd Young, John X. Qiu, Hong‐Jun Yoon, (unknown), Paul Fearn, Georgia D. Tourassi, (unknown)	89
12	Detecting Rumors Through Modeling Information Propagation Networks in a Social Media Environment 2015 ·Lecture notes in computer science ·(unknown), Songhua Xu, Georgia D. Tourassi	20
13	Residential Mobility and Lung Cancer Risk: Data-Driven Exploration Using Internet Sources 2015 ·Lecture notes in computer science ·Hong‐Jun Yoon, Georgia D. Tourassi, Songhua Xu	5
14	Gaze as a biometric 2014 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Hong‐Jun Yoon, (unknown), Georgia D. Tourassi	12
15	Analysis of online social networks to understand information sharing behaviors through social cognitive theory 2014 ·PubMed ·Hong‐Jun Yoon, Georgia D. Tourassi	24
16	Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis 2011 ·Journal of Biomedical Informatics ·Maciej A. Mazurowski, Joseph Y. Lo, Brian Harrawood, Georgia D. Tourassi	48
17	Individualized computer‐aided education in mammography based on user modeling: Concept and preliminary experiments 2010 ·Medical Physics ·Maciej A. Mazurowski, Jay A. Baker, Huiman X. Barnhart, Georgia D. Tourassi	23
18	Decision optimization of case-based computer-aided decision systems using genetic algorithms with application to mammography 2008 ·Physics in Medicine and Biology ·Maciej A. Mazurowski, Piotr A. Habas, Jacek M. Zurada, Georgia D. Tourassi	25
19	Information‐theoretic CAD system in mammography: Entropy‐based indexing for computational efficiency and robust performance 2007 ·Medical Physics ·Georgia D. Tourassi, Brian Harrawood, (unknown), Joseph Y. Lo	29
20	Improved noninvasive diagnosis of acute pulmonary embolism with optimally selected clinical and chest radiographic findings 1996 ·Academic Radiology ·Georgia D. Tourassi, Carey E. Floyd, Edward Coleman	6

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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